Harsh shadows block product details or create uneven lighting, ruining a clear product view. It’s important to remove them to enhance the product clarity and visual appeal. Also, sometimes, having too many shadows on the images can make the photo appear darker. 

However, it’s difficult to preserve essential highlights and have a smooth transition between the product and the background. Photographers and e-commerce owners who lack editing skills will often fail to remove the shadows perfectly without damaging the image.

A distracting background colour can pull focus away from the product, especially on e-commerce platforms with standardised backgrounds. Removing the existing colour allows for greater flexibility in showcasing your product.

The main difficulty with removing background colour is achieving a clean and seamless separation. When you try to isolate the product, maintaining its colour integrity can be tricky, and avoiding colour bleeding or halo effects requires precise tools and techniques. Without prior experience, you will definitely have a hard time.

Digital noise, evident as unwanted grain or speckles, can lower the overall image quality and make the product appear blurry. Removing noise enhances sharpness and creates a more polished product presentation, naturally attracting viewers to check out your product. 

The process involves smoothing the image, which requires finding the right balance. However, a lack of expertise can cause you to oversmooth or undersmooth the image, resulting in a loss of detail and giving the photos a “plastic” look.

The dreaded red-eye effect can ruin an otherwise perfect portrait image, completely making the photo look unprofessional. Hence, removing it ensures a natural and more pleasing visual representation, especially on the eyes, to get a portrait of a person.

While the red-eye reduction tool is efficient here, it’s not perfect when dealing with complex red-eye situations or close-up portraits. You need to know techniques like selective darkening or masking, which becomes a challenge for any photographer or e-commerce owner.

Unwanted wrinkles on clothing or skin can sometimes appear in product photos, failing to provide a flawless presentation. It’s essential to remove those to enhance the perceived quality and visual appeal of the product.

One of the most challenging aspects that non-professional editors face with wrinkle removal is preserving product texture. Usually the technique is to smooth out the wrinkles on the photo. But what happens is that people either overdo the smoothing process or underdo it.

While a white background is ideal for e-commerce consistency, sometimes your product image might have a cluttered or uneven white backdrop. Creating a clean, uniform white background ensures a professional and visually appealing product listing.

The biggest challenge in this process is maintaining a perfect white balance. Techniques like channel extraction or layer masking are necessary to get a natural-looking white background in your photos. However, achieving a pure white tone requires careful adjustments.

Distracting glare on glass, metal, or shiny product surfaces can obscure details and ruin the product’s visual appeal. To ensure a much clearer-looking picture without any distractions to represent your product accurately requires you to remove any glare in the picture. 

Basically, removing glare involves several different advanced techniques. To get professional results, you need knowledge of content-aware fill, dodge and burn tools, clone stamp tools, etc. This is what makes the process challenging for people.

Precise product isolation allows for a clean and focused presentation, highlighting its details and features. Cutting out unwanted objects enhances the visual impact of the product image and makes it more appealing to customers, who only have to focus on what’s important. 

The basic process is usually quite straightforward, and it seems like anyone can do it. However, achieving a clean cut, especially with intricate shapes or products with soft edges, demands meticulous selection techniques that require experience and expertise.